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Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

10 February 2021
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
    DiffM
ArXivPDFHTML

Papers citing "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

50 / 275 papers shown
Title
On quantifying and improving realism of images generated with diffusion
On quantifying and improving realism of images generated with diffusion
Yunzhu Chen
Naveed Akhtar
Nur Al Hasan Haldar
Ajmal Mian
30
4
0
26 Sep 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based
  Gradient-Boosted Trees
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
Alexia Jolicoeur-Martineau
Kilian Fatras
Tal Kachman
33
30
0
18 Sep 2023
Beta Diffusion
Beta Diffusion
Mingyuan Zhou
Tianqi Chen
Zhendong Wang
Huangjie Zheng
DiffM
29
10
0
14 Sep 2023
Discrete Denoising Diffusion Approach to Integer Factorization
Discrete Denoising Diffusion Approach to Integer Factorization
Kārlis Freivalds
Emīls Ozoliņš
Guntis Barzdins
DiffM
26
0
0
11 Sep 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation
FinDiff: Diffusion Models for Financial Tabular Data Generation
Timur Sattarov
Marco Schreyer
Damian Borth
DiffM
19
35
0
04 Sep 2023
DiverseMotion: Towards Diverse Human Motion Generation via Discrete
  Diffusion
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion
Yunhong Lou
Linchao Zhu
Yaxiong Wang
Xiaohan Wang
Yezhou Yang
DiffM
25
24
0
04 Sep 2023
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear
  Dynamical Systems
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems
Feng Bao
Zezhong Zhang
Guannan Zhang
DiffM
13
12
0
02 Sep 2023
Diffusion Models for Interferometric Satellite Aperture Radar
Diffusion Models for Interferometric Satellite Aperture Radar
A. Tuel
Thomas Kerdreux
Claudia Hulbert
B. Rouet-Leduc
22
2
0
31 Aug 2023
A Recycling Training Strategy for Medical Image Segmentation with
  Diffusion Denoising Models
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models
Yunguan Fu
Yiwen Li
Shaheer U. Saeed
Matthew J Clarkson
Yipeng Hu
DiffM
MedIm
29
6
0
30 Aug 2023
RetroBridge: Modeling Retrosynthesis with Markov Bridges
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov
Arne Schneuing
Marwin H. S. Segler
Michael M. Bronstein
B. Correia
34
14
0
30 Aug 2023
Mixed Variational Flows for Discrete Variables
Mixed Variational Flows for Discrete Variables
Gian Carlo Diluvi
Benjamin Bloem-Reddy
Trevor Campbell
38
0
0
29 Aug 2023
Diffusion Schrödinger Bridges for Bayesian Computation
Diffusion Schrödinger Bridges for Bayesian Computation
J. Heng
Valentin De Bortoli
Arnaud Doucet
DiffM
29
3
0
27 Aug 2023
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion
  Models
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models
Ziqi Chen
B. Peng
Srinivas Parthasarathy
Xia Ning
DiffM
39
11
0
23 Aug 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
54
14
0
23 Aug 2023
Learning to Generate Semantic Layouts for Higher Text-Image
  Correspondence in Text-to-Image Synthesis
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis
Minho Park
Jooyeol Yun
Seunghwan Choi
Jaegul Choo
DiffM
30
11
0
16 Aug 2023
Bayesian Flow Networks
Bayesian Flow Networks
Alex Graves
R. Srivastava
Timothy James Atkinson
Faustino J. Gomez
BDL
38
43
0
14 Aug 2023
Crystal Structure Prediction by Joint Equivariant Diffusion
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao
Wen-bing Huang
Peijia Lin
Jiaqi Han
Pin Chen
Yutong Lu
Yang Liu
DiffM
32
61
0
30 Jul 2023
XDLM: Cross-lingual Diffusion Language Model for Machine Translation
XDLM: Cross-lingual Diffusion Language Model for Machine Translation
Linyao Chen
Aosong Feng
Boming Yang
Zihui Li
AI4CE
33
2
0
25 Jul 2023
Autoregressive Diffusion Model for Graph Generation
Autoregressive Diffusion Model for Graph Generation
Lingkai Kong
Jiaming Cui
Haotian Sun
Yuchen Zhuang
B. Prakash
Chao Zhang
DiffM
28
65
0
17 Jul 2023
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph
  Generation
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
Qi Yan
Zhen-Long Liang
Yang Song
Renjie Liao
Lele Wang
DiffM
63
18
0
04 Jul 2023
Graph Denoising Diffusion for Inverse Protein Folding
Graph Denoising Diffusion for Inverse Protein Folding
Kai Yi
Bingxin Zhou
Yiqing Shen
Pietro Lio
Yu Guang Wang
DiffM
16
41
0
29 Jun 2023
DiffusionSTR: Diffusion Model for Scene Text Recognition
DiffusionSTR: Diffusion Model for Scene Text Recognition
Masato Fujitake
DiffM
23
6
0
29 Jun 2023
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional
  Latent Diffusion Models
ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models
Da Chen
DiffM
21
4
0
15 Jun 2023
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation
Gabriel Bénédict
Olivier Jeunen
Samuele Papa
Samarth Bhargav
Daan Odijk
Maarten de Rijke
DiffM
32
9
0
15 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
George Alex Koulieris
Hubert P. H. Shum
DiffM
29
54
0
07 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured
  Data
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo
To Eun Kim
DiffM
MedIm
40
7
0
07 Jun 2023
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control
  for Empathetic Response Generation
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation
Guanqun Bi
Lei Shen
Yanan Cao
Meng Chen
Yuqiang Xie
Zheng Lin
Xiao-feng He
DiffM
29
13
0
02 Jun 2023
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image
  Generation
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation
Shaozhe Hao
Kai Han
Shihao Zhao
Kwan-Yee K. Wong
28
10
0
01 Jun 2023
Protein Design with Guided Discrete Diffusion
Protein Design with Guided Discrete Diffusion
Nate Gruver
Samuel Stanton
Nathan C. Frey
Tim G. J. Rudner
I. Hotzel
J. Lafrance-Vanasse
A. Rajpal
Kyunghyun Cho
A. Wilson
DiffM
42
103
0
31 May 2023
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Yiwei Lyu
Tiange Luo
Jiacheng Shi
Todd C. Hollon
Ho Hin Lee
DiffM
35
3
0
31 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative
  Modeling
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling
Tianqi Chen
Mingyuan Zhou
DiffM
65
7
0
28 May 2023
Robust Classification via a Single Diffusion Model
Robust Classification via a Single Diffusion Model
Huanran Chen
Yinpeng Dong
Zhengyi Wang
Xiaohu Yang
Chen-Dong Duan
Hang Su
Jun Zhu
82
58
0
24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for
  Variational Dialog Generation
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation
Tianyu Yang
Thy Thy Tran
Iryna Gurevych
DiffM
31
1
0
24 May 2023
David helps Goliath: Inference-Time Collaboration Between Small
  Specialized and Large General Diffusion LMs
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
Xiaochuang Han
Sachin Kumar
Yulia Tsvetkov
Marjan Ghazvininejad
DiffM
34
3
0
24 May 2023
A Survey of Diffusion Models in Natural Language Processing
A Survey of Diffusion Models in Natural Language Processing
Hao-Li Zou
Zae Myung Kim
Dongyeop Kang
DiffM
MedIm
25
12
0
24 May 2023
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
Han Huang
Leilei Sun
Bowen Du
Weifeng Lv
DiffM
37
16
0
21 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text
  Diffusion
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion
Chao-Hong Tan
Jia-Chen Gu
Zhen-Hua Ling
DiffM
35
0
0
19 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces
Javier E. Santos
Z. Fox
Nicholas Lubbers
Yen Ting Lin
DiffM
25
16
0
18 May 2023
GETMusic: Generating Any Music Tracks with a Unified Representation and
  Diffusion Framework
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
Ang Lv
Xuejiao Tan
Peiling Lu
Wei Ye
Shikun Zhang
Jiang Bian
Rui Yan
DiffM
27
13
0
18 May 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation
Dirichlet Diffusion Score Model for Biological Sequence Generation
P. Avdeyev
Chenlai Shi
Y.M. Tan
Kseniia Dudnyk
Jian Zhou
DiffM
26
48
0
18 May 2023
Sampling, Diffusions, and Stochastic Localization
Sampling, Diffusions, and Stochastic Localization
Andrea Montanari
DiffM
17
29
0
18 May 2023
RMSSinger: Realistic-Music-Score based Singing Voice Synthesis
RMSSinger: Realistic-Music-Score based Singing Voice Synthesis
Jinzheng He
Jinglin Liu
Zhenhui Ye
Rongjie Huang
Chenye Cui
Huadai Liu
Zhou Zhao
DiffM
22
19
0
18 May 2023
Discrete Diffusion Probabilistic Models for Symbolic Music Generation
Discrete Diffusion Probabilistic Models for Symbolic Music Generation
Matthias Plasser
S. Peter
Gerhard Widmer
DiffM
MGen
33
10
0
16 May 2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Rabeeh Karimi Mahabadi
Hamish Ivison
Jaesung Tae
James Henderson
Iz Beltagy
Matthew E. Peters
Arman Cohan
37
20
0
15 May 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule
  Diffusion Generation
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Xingang Peng
Jiaqi Guan
Qiang Liu
Jianzhu Ma
DiffM
33
43
0
11 May 2023
Can Diffusion Model Achieve Better Performance in Text Generation?
  Bridging the Gap between Training and Inference!
Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!
Zecheng Tang
Pinzheng Wang
Keyan Zhou
Juntao Li
Ziqiang Cao
Hao Fei
DiffM
37
11
0
08 May 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion
  Modeling
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen
Jiaxing He
Xuhong Han
Liping Liu
DiffM
38
48
0
06 May 2023
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation
  in 3D
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Yiran Zhou
Yuxuan Song
Minkai Xu
Jingjing Gong
B. Gao
Hao Zhou
Weiying Ma
Yanyan Lan
DiffM
49
18
0
05 May 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular
  Synthesis
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
C. Lee
Jayoung Kim
Noseong Park
DiffM
22
54
0
25 Apr 2023
Semi-Equivariant Conditional Normalizing Flows
Semi-Equivariant Conditional Normalizing Flows
Eyal Rozenberg
Daniel Freedman
27
0
0
13 Apr 2023
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